A new multi-sensor data fusion method using multi-criteria decision aid is proposed,which considers several indicators to reduce the decision subjectivity and contingency. Different fusion levels in the multi-sensor target recognition system is proposed to define multiple criteria, hence to gain more information of multi-criteria qualitatively. With no information about the preference of the decision maker for each criteria, the criteria weights vector can be obtained by solving a multi-objective optimization which intends to minimize the criteria redundancy and maximize the diversity factor of every criteria. The simulation results show that the proposed method performs better in anti-risk capability and stability than the mono-criteria and decision-making level method.